Outputs (8)

Intrusion detection method based on nonlinear correlation measure (2014)
Journal Article
Ambusaidi, M. A., Tan, Z., He, X., Nanda, P., Lu, L. F., & Jamdagni, A. (2014). Intrusion detection method based on nonlinear correlation measure. International Journal of Internet Protocol Technology, 8(2/3), 77. https://doi.org/10.1504/ijipt.2014.066377

Cyber crimes and malicious network activities have posed serious threats to the entire internet and its users. This issue is becoming more critical, as network-based services, are more widespread and closely related to our daily life. Thus, it has ra... Read More about Intrusion detection method based on nonlinear correlation measure.

Detection of Denial-of-Service Attacks Based on Computer Vision Techniques (2014)
Journal Article
Tan, Z., Jamdagni, A., He, X., Nanda, P., Liu, R. P., & Hu, J. (2015). Detection of Denial-of-Service Attacks Based on Computer Vision Techniques. IEEE Transactions on Computers, 64(9), 2519-2533. https://doi.org/10.1109/tc.2014.2375218

Detection of Denial-of-Service (DoS) attacks has attracted researchers since 1990s. A variety of detection systems has been proposed to achieve this task. Unlike the existing approaches based on machine learning and statistical analysis, the proposed... Read More about Detection of Denial-of-Service Attacks Based on Computer Vision Techniques.

Enhancing Big Data Security with Collaborative Intrusion Detection (2014)
Journal Article
Tan, Z., Nagar, U. T., He, X., Nanda, P., Liu, R. P., Wang, S., & Hu, J. (2014). Enhancing Big Data Security with Collaborative Intrusion Detection. IEEE cloud computing, 1(3), 27-33. https://doi.org/10.1109/mcc.2014.53

Big data, often stored in cloud networks, is changing our business models and applications. Rich information residing in big data is driving business decision making to be a data-driven process. The security and privacy of this data, however, have al... Read More about Enhancing Big Data Security with Collaborative Intrusion Detection.

A Novel Feature Selection Approach for Intrusion Detection Data Classification (2014)
Presentation / Conference Contribution
Ambusaidi, M. A., He, X., Tan, Z., Nanda, P., Lu, L. F., & Nagar, U. T. (2014, September). A Novel Feature Selection Approach for Intrusion Detection Data Classification. Presented at 2014 IEEE 13th International Conference on Trust, Security and Privacy in Computing and Communications

Intrusion Detection Systems (IDSs) play a significant role in monitoring and analyzing daily activities occurring in computer systems to detect occurrences of security threats. However, the routinely produced analytical data from computer networks ar... Read More about A Novel Feature Selection Approach for Intrusion Detection Data Classification.

A Robust Authentication Scheme for Observing Resources in the Internet of Things Environment (2014)
Presentation / Conference Contribution
Jan, M. A., Nanda, P., He, X., Tan, Z., & Liu, R. P. (2014, September). A Robust Authentication Scheme for Observing Resources in the Internet of Things Environment. Presented at 2014 IEEE 13th International Conference on Trust, Security and Privacy in Computing and Communications

The Internet of Things is a vision that broadens the scope of the internet by incorporating physical objects to identify themselves to the participating entities. This innovative concept enables a physical device to represent itself in the digital wo... Read More about A Robust Authentication Scheme for Observing Resources in the Internet of Things Environment.

Towards Designing an Email Classification System Using Multi-view Based Semi-supervised Learning (2014)
Presentation / Conference Contribution
Li, W., Meng, W., Tan, Z., & Xiang, Y. (2014, September). Towards Designing an Email Classification System Using Multi-view Based Semi-supervised Learning. Presented at 2014 IEEE 13th International Conference on Trust, Security and Privacy in Computing and Communications

The goal of email classification is to classify user emails into spam and legitimate ones. Many supervised learning algorithms have been invented in this domain to accomplish the task, and these algorithms require a large number of labeled training d... Read More about Towards Designing an Email Classification System Using Multi-view Based Semi-supervised Learning.

A Stateful Mechanism for the Tree-Rule Firewall (2014)
Presentation / Conference Contribution
Chomsiri, T., He, X., Nanda, P., & Tan, Z. (2014, September). A Stateful Mechanism for the Tree-Rule Firewall. Presented at 2014 IEEE 13th International Conference on Trust, Security and Privacy in Computing and Communications

In this paper, we propose a novel connection tracking mechanism for Tree-rule firewall which essentially organizes firewall rules in a designated Tree structure. A new firewall model based on the proposed connection tracking mechanism is then develop... Read More about A Stateful Mechanism for the Tree-Rule Firewall.

A System for Denial-of-Service Attack Detection Based on Multivariate Correlation Analysis (2014)
Journal Article
Tan, Z., Jamdagni, A., He, X., Nanda, P., & Ping Liu, R. (2014). A System for Denial-of-Service Attack Detection Based on Multivariate Correlation Analysis. IEEE Transactions on Parallel and Distributed Systems, 25(2), 447-456. https://doi.org/10.1109/tpds.2013.146

Interconnected systems, such as Web servers, database servers, cloud computing servers and so on, are now under threads from network attackers. As one of most common and aggressive means, denial-of-service (DoS) attacks cause serious impact on these... Read More about A System for Denial-of-Service Attack Detection Based on Multivariate Correlation Analysis.